In Figures S7 9 in Supplementary Materials). Comparing differences involving light variables along studied years, we found that when taking the thinning treatment into account, CanOpen (Figure 3a) showed important pairwise contrasts involving consecutive years for the periods 2005007 and 2011012. For LAI (Figure 3b), considerable contrasts had been located for the Ensitrelvir Epigenetic Reader Domain period 2005007, and in 2011. For DirectBelow.Yr (Figure 3c) the substantial contrasts had been located in 2005006 and 2010 to 2012. For N.Z-VAD-FMK Technical Information Sunflecks (Figure 3d) there had been important contrasts amongst consecutive years inside the period 2005 to 2008, and in 2012. Finally, for Max.Sunflecks (Figure 3e), important variations amongst consecutive years were found only for the period 2005 to 2008.Forests 2021, 12, 1485 Forests 2021, 12, x FOR PEER REVIEW12 of 20 ten ofFigure two. Light autocorrelation functions (PACFs) for light variables over studied years for the 5 plots that showed Figure 3. Partial variables in the hemispherical photograaphs for the duration of the the studied years for the five plots using the larger adjustments(a) CanOpen, (b) LAI, (c) DirectBelow.Yr, (d)(b) LAI (m2 m-2), (e) Max.Sunflecks. Every single line-2 s-1), (d) N.Sunflecks clearest trends. more than time: (a) CanOpen (parts per unit), N.Sunflecks, and (c) DirectBelow.Yr (mol m represents diverse (mol m-2 s-1), and (e) Max.Sunflecks (minutes). Every single line corresponds to distinct plots. For every single light variable, horizontal plots. The y-axis represents the values the PACF can take (from 1.0 to -1.0), along with the x-axis represents the years. For y-axis, lines represent the mean values whereas vertical lines symbolize standard error. values close to zero (dashed lines) show that there was no temporal autocorrelation from the values of each light variable with respect to the prior year.3.two. Spatial Differences in Light Variables When taking into account variations betweena single higherno clear patterns have been With regards to differences in between plots within plots, a year, number of considerable alterations amongst consecutive yearsbeing intrinsic plot-level functions responsible for most identified due to thinning treatments, had been identified for all variables except N.Sunflecks. For CanOpen, significant pairwise among plots, with plot 1 and particularly plot 9 regularly from the observed variations contrasts have been concentrated in 2005006, 2009 and 2011012. For LAI, changes have been found in 2005 to 2009. For DirectBelow.Yr, important contrasts showing light behaviors diverse from the other plots. In specific, for CanOpen plot 9 (a between plot) accumulatedwere discovered forsignificant differences amongst N.Sunflecks, the control consecutive years 29 with the 2005007 and 2011012. For plots (pairwiseForests 2021, 12,13 ofonly considerable contrast was identified in 2005006. For Max.Sunflecks, important contrasts were discovered inside the period 2005007 (see Table S4, Supplementary Supplies, for detailed final results on significant pairwise contrast between consecutive years). three.four. Forest Canopy Structure as Driver of Light Variables When accounting for light variables explained by forest canopy variables, we discovered that an location of four.0 m radius about every single sampling point had the highest overall performance for CanOpen, DirectBelowYr, N.Sunflecks, and Max.Sunflecks, whereas an region of two.0 m radius had the highest efficiency for LAI (see Figure S10, Supplementary Supplies). When evaluating the best models to explain every light variable, the proportion of broadleaf canopy cover negatively impacted the majori.